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of image analysis and machine learning with a minimum of 90 higher education credits. Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural
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Sintorn, Professor in digital image processing, at the Department of Information Technology and conducted alongside researchers developing computational methods with a particular focus on deep learning and
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research and methodological development to design and implement novel computational models and solutions. A solid theoretical background and hands-on experience in digital image processing and deep learning
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KTH Royal Institute of Technology, School of Engineering Sciences Job description We are looking for a motivated candidate interested in biophysics and live-cell imaging to join the Advanced Optical
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grounding, in other words, the linking of elements of natural language (words, phrases, or sentences) to visual inputs (such as images or video) in a meaningful way. The position is part of an on-going
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visualization groups (iVis, https://ivis.itn.liu.se/ ) and will be collaborating closely with the computer graphics and image processing group and researchers from the Department of Thematic Studies. The iVis
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skin diseases. Applying advanced immunological and molecular techniques, such as multiparameter flow cytometry, cell sorting, in vitro differentiation assays, spatial transcriptomics, and in vivo imaging
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include Drive research projects which include analysis of tissue images from multiplex immunofluorescence, spatial proteomics and transcriptomics Drive development of deep learning and computer vision tools
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for Spectroscopic and Acoustic Imaging (https://www.photoacoustics.lu.se/ ). The doctoral student will gain knowledge in optical measurement methods, medical image processing, development of computational models, and
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Engineering. Work assignments The postdoctoral position centers on developing innovative algorithms and conducting advanced research in the field of digital image/video forensics. The work will specifically